Systems | Development | Analytics | API | Testing

IT leaders who want to scale operations to meet future business needs face an epic challenge—improving operational efficiency while managing risk, ever-growing IT backlogs, and stakeholder expectations. That's where process orchestration comes into play. Process orchestration is not just about efficiency and scale. It's a transformative approach that revolutionizes how work gets done. By automating routine tasks, it frees up your workforce to focus on strategic initiatives.

It's hardly groundbreaking to mention the importance of data privacy in the digital world and in business…it's a topic we've previously explored. However, acknowledging its significance is one thing, implementing actionable steps is another. This realization is the inspiration behind this article. There’s no need for you to jot anything down or replicate the checklist, as we’ve prepared a downloadable gated version ready at the conclusion of this article. So let’s get into it.

Like many tech endeavors, QA has undergone radical evolution over the past decade, and to keep up with the competition, dev teams are looking toward the future of QA and test automation. Since machines can do low-skill testing, dev teams are looking for expertise and complex skill sets, which means that human testers’ day-to-day responsibilities are changing thanks to automation. In this article, we will discuss test automation, what it is, examples, types of test automation, and uses.

Learn how to use BigQuery’s new CDC capability in Dataflow and its at-least-once streaming mode to simplify your CDC pipeline and reduce costs.

In the last couple of years, AI has launched itself to the forefront of technology initiatives across industries. In fact, Gartner predicts the AI software market will grow from $124 billion in 2022 to $297 billion in 2027. As a data platform company, Cloudera has two very clear priorities. First, we need to help customers get AI models based on trusted data into production faster than ever.

When a data breach occurs, your response is critical. What do you do first? Do you have a plan for communicating with business units, regulators and other concerned parties? The integrity and security of data infrastructure stand as paramount concerns for business leaders across all sectors. As technology evolves and threats become more sophisticated, the pursuit of an unbreakable data infrastructure remains an ongoing challenge.

A solid understanding of internal technical and business terms is essential to manage and use data. Business glossaries are pivotal in this aspect, facilitating improved understanding and collaboration among teams. A business glossary breaks down complex terms into easy-to-understand definitions, ensuring that everyone in the organization, from the newest recruit to the CEO, is on the same page regarding business language.